Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

S Wang, J Shi, Z Ye, D Dong, D Yu… - European …, 2019 - Eur Respiratory Soc
… mutation status in lung adenocarcinoma using non-invasive computed tomography (CT). …
data from 844 lung adenocarcinoma patients with pre-operative CT images, EGFR mutation …

[HTML][HTML] Lung adenocarcinomas: correlation of computed tomography and pathology findings

JG Cohen, E Reymond, A Jankowski… - … interventional imaging, 2016 - Elsevier
Adenocarcinoma is the most common histologic type of lung cancer. Recent lung
adenocarcinoma classifications from the International Association for the Study of Lung cancer, the …

[HTML][HTML] Micro-computed tomography images of lung adenocarcinoma: detection of lepidic growth patterns

S Nakamura, K Mori, S Iwano… - Nagoya Journal of …, 2020 - ncbi.nlm.nih.gov
… those imageslung and lung adenocarcinoma with the lepidic growth pattern. This study
was first report which investigated images of lung cancer using μCT We showed µCT images in …

[HTML][HTML] Quantifying invasiveness of clinical stage IA lung adenocarcinoma with computed tomography texture features

ZB Qiu, C Zhang, XP Chu, FY Cai, XN Yang… - The Journal of Thoracic …, 2022 - Elsevier
… Similar to Yoshiyasu and colleagues 14 we evaluate the relationship between 4
histogram features on 3D CT images and the pathologic invasiveness of early-stage lung

[HTML][HTML] Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography

C Wang, J Shao, J Lv, Y Cao, C Zhu, J Li, W Shen… - Translational …, 2021 - Elsevier
… A CT imaging dataset of 1222 lung adenocarcinoma patients from 3 medical centers was …
Then we established the prognostic models in lung adenocarcinoma patients with survival …

Correlation between maximal tumor diameter of fresh pathology specimens and computed tomography images in lung adenocarcinoma

CH Park, TH Kim, S Lee, DH Moon, HS Park - PloS one, 2019 - journals.plos.org
lung tissue and axial and multiplanar reformatted chest computed-tomography (CT) images
in lung adenocarcinoma … This study included 135 surgically resected lung adenocarcinomas. …

Comprehensive computed tomography radiomics analysis of lung adenocarcinoma for prognostication

G Lee, H Park, I Sohn, SH Lee, SH Song, H Kim… - The …, 2018 - academic.oup.com
… Our results show that a radiomics approach in lung adenocarcinoma enables utilization
of the full potential of medical imaging and could play a larger role in clinical oncology. …

[HTML][HTML] Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma

Y Miao, J Zhang, J Zou, Q Zhu, T Lv… - Translational Lung …, 2017 - ncbi.nlm.nih.gov
image characteristics of the nodules in computed tomography (CT) scans and lung
adenocarcinoma … computed tomography (HRCT) scan and postoperative histopathology of stage …

[HTML][HTML] Clinicopathologic and genotypic features of lung adenocarcinoma characterized by the international association for the study of lung cancer grading system

R Fujikawa, Y Muraoka, J Kashima, Y Yoshida… - Journal of Thoracic …, 2022 - Elsevier
… on computed tomography images and a high maximum standardized uptake value with
positron emission tomography. Genotypically, 43% of the grade 3 adenocarcinomas lacked any …

Computed tomography features and tumor spread through air spaces in lung adenocarcinoma: a meta-analysis

Y Gu, B Zheng, T Zhao, Y Fan - Journal of Thoracic Imaging, 2023 - journals.lww.com
… : (lung carcinoma OR lung adenocarcinoma OR lung neoplasm OR non-small cell lung cancer
OR NSCLC OR small cell lung … (CT features OR Computed Tomography features OR CT …